The quantisation benchmarks show minimal performance degradation. On the DROP benchmark, the Hunyuan-7B-Instruct model scores 85.9 in its base B16 format, 86.0 with FP8, and 85.7 with Int4 GPTQ, indicating that efficiency gains do not come at a cost to accuracy.For deployment, Tencent recommends using established frameworks like TensorRT-LLM, vLLM, or SGLang to serve the Hunyuan models and create OpenAI-compatible API endpoints, ensuring they can be integr